Cloud Threat Emulation on Autopilot: Context is Everything
Elastic outlines a plan-first cloud threat-emulation lifecycle so detections rest on realistic identity, telemetry, and cleanup.
Elastic Security Labs argues that cloud, SaaS, and identity threat emulation cannot be a port of endpoint atomic testing because there is often no malware sample to replay. This first post in a series defines a lifecycle from objective and threat modeling through victim IAM, lab provisioning, contextual execution, telemetry verification, coverage evaluation, and fail-closed cleanup. It says tools such as Stratus Red Team, Atomic Red Team, CloudGoat, and ROADTools do not replace that planning. A later part is planned to cover agents and AI executing the method.
- Cloud emulation should start from a realistic compromised identity, not admin demos.
- Telemetry and detection coverage are outputs to verify, not assumptions.
- Detonation-only tools skip victim modeling, logging checks, and cleanup.
- This is part one; a follow-up will cover AI agents in practice.
- Vendors
- Elastic
- Organizations
- MITRECenter for Threat-Informed DefenseSplunk
From the original article
14 min read at elastic.co
Cloud threat emulation is more than detonation. A plan-first methodology for cloud detection engineering: scope, victim model, telemetry, coverage, cleanup. Learn how to properly leverage AI to automate your emulations.
By Terrance DeJesus,Bryan Porras Blanch · elastic.co
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